Abstract
Abstract. This article is aimed at expanding and deepening knowledge in GIS analysis for medical professionals. Key task of described research is to elaborate a methodology of 3D mapping and visualization of the multiflat buildings in order to study most socially valuable diseases on the apartment scale in the St. Petersburg city. The use of this methodology allows to avoid the aggregation of geographical information within one building, and, on the other hand, allows to move from a general assessment of the prevalence of the disease to specific cases. In this case, the methodology is considered as primary health care support. The paper describes elaborated approach to detailed 3D mapping of multiple disease hotbeds in multiflat buildings. Main benefit of the proposed set of data processing and mapping techniques is the capability of apartment-scale connectivity evaluation of the hotbeds inside multiflat buildings.
Highlights
Application of map-based (Gordon, Womersley, 1997; Lesnykh, Mel’nikova, 2019) and GIS-based (Mayer, 1983; Gatrell, Bailey, 1996; Huang, Wang, 2012) data analysis, as well as any other appropriate analytical tools can be used to study and forecast infectious diseases spread and to save resources when fighting the disease
We have developed our own geocoder upon Nominatim OpenStreetMap geocoding engine (Kuznetsov at al., 2020a), and have used Web GIS to detect the problems and successes in the fight against tuberculosis in St
The 3D visualization methodology allows to understand the essence of the processes of diseases development occurring in the studied areas
Summary
Application of map-based (Gordon, Womersley, 1997; Lesnykh, Mel’nikova, 2019) and GIS-based (Mayer, 1983; Gatrell, Bailey, 1996; Huang, Wang, 2012) data analysis, as well as any other appropriate analytical tools can be used to study and forecast infectious diseases spread and to save resources when fighting the disease. We worked on detection of the tuberculosis infection and other diseases hotbeds, based on residence data of patients. In addition to the territory in Yuntolovo, we to explored another area It is located in the east of St. Petersburg, in the Nevsky district, two buildings on Chudnovsky Street No 8/1 and 8/2 (Fig. 2, 3). In this building, increased rates of tuberculosis and HIV infection were noted Since this building has the only common address, it is impossible to determine the source of the hotbed of the disease unambiguously. Information on this area was sent to the district tuberculosis dispensary for clarification and additional collection
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